Instructions to use privacy-tech-lab/RegionBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use privacy-tech-lab/RegionBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/RegionBaseModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/RegionBaseModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/RegionBaseModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b05dd297fd8c33316470e37fab95bd97b561cb83) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>77938ff
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